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feat: multimodal image clients, workspaces, Tushare skill, test fixes
- Replace monolithic image_message_client with HTTP/OCR/legacy modules; tighten OpenAI transport + tool schemas for multimodal downgrade to OCR specialist path. - Add image/stock workspace prompts (META/SOUL/ROLE_SYSTEM); register experts; tweak specialist agent/direct loop/query_image_attachment. - Add bundled runtime/skills/tushare-finance (references, api_client, SKILL metadata). - Document OCR-related env vars; admin chat tweaks; README; weixin_install Ensure-OfficialPluginRuntimeDeps helper. - Tests: multimodal downgrade + OCR coverage, strict tool pairing in attachment replay guard, workspace contract skips _internal/_system dirs, router/trace/prompt guards. Co-authored-by: Cursor <cursoragent@cursor.com>
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runtime/skills/tushare-finance/reference/接口文档/历史分钟.md
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runtime/skills/tushare-finance/reference/接口文档/历史分钟.md
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# 历史分钟
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**文档ID**: 370
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**原始链接**: https://tushare.pro/document/2?doc_id=370
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---
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## 股票历史分钟行情
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接口：stk_mins描述：获取A股分钟数据，支持1min/5min/15min/30min/60min行情，提供Python SDK和 http Restful API两种方式限量：单次最大8000行数据，可以通过股票代码和时间循环获取，本接口可以提供超过10年历史分钟数据权限：需单独开权限，正式权限请参阅权限说明
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输入参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>必选</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>ts_code</td>
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<td>str</td>
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<td>Y</td>
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<td>股票代码，e.g. 600000.SH</td>
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</tr>
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<tr>
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<td>freq</td>
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<td>str</td>
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<td>Y</td>
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<td>分钟频度（1min/5min/15min/30min/60min）</td>
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</tr>
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<tr>
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<td>start_date</td>
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<td>datetime</td>
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<td>N</td>
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<td>开始日期 格式：2023-08-25 09:00:00</td>
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</tr>
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<tr>
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<td>end_date</td>
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<td>datetime</td>
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<td>N</td>
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<td>结束时间 格式：2023-08-25 19:00:00</td>
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</tr>
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</tbody></table>
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freq参数说明
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<table>
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<thead>
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<tr>
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<th>freq</th>
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<th>说明</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>1min</td>
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<td>1分钟</td>
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</tr>
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<tr>
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<td>5min</td>
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<td>5分钟</td>
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</tr>
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<tr>
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<td>15min</td>
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<td>15分钟</td>
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</tr>
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<tr>
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<td>30min</td>
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<td>30分钟</td>
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</tr>
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<tr>
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<td>60min</td>
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<td>60分钟</td>
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</tr>
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</tbody></table>
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输出参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>默认显示</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>ts_code</td>
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<td>str</td>
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<td>Y</td>
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<td>股票代码</td>
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</tr>
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<tr>
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<td>trade_time</td>
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<td>str</td>
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<td>Y</td>
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<td>交易时间</td>
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</tr>
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<tr>
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<td>open</td>
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<td>float</td>
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<td>Y</td>
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<td>开盘价</td>
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</tr>
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<tr>
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<td>close</td>
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<td>float</td>
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<td>Y</td>
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<td>收盘价</td>
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</tr>
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<tr>
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<td>high</td>
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<td>float</td>
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<td>Y</td>
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<td>最高价</td>
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</tr>
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<tr>
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<td>low</td>
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<td>float</td>
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<td>Y</td>
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<td>最低价</td>
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</tr>
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<tr>
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<td>vol</td>
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<td>int</td>
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<td>Y</td>
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<td>成交量</td>
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</tr>
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<tr>
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<td>amount</td>
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<td>float</td>
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<td>Y</td>
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<td>成交金额</td>
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</tr>
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</tbody></table>
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接口用法
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```
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pro = ts.pro_api()
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#获取浦发银行60000.SH的历史分钟数据
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df = pro.stk_mins(ts_code='600000.SH', freq='1min', start_date='2023-08-25 09:00:00', end_date='2023-08-25 19:00:00')
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```
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数据样例
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```
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ts_code trade_time close open high low vol amount
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0 600000.SH 2023-08-25 15:00:00 7.05 7.05 7.05 7.05 235500.0 1660275.0
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1 600000.SH 2023-08-25 14:59:00 7.05 7.05 7.05 7.05 0.0 0.0
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2 600000.SH 2023-08-25 14:58:00 7.05 7.05 7.05 7.05 0.0 0.0
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3 600000.SH 2023-08-25 14:57:00 7.05 7.06 7.06 7.05 51800.0 365491.0
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4 600000.SH 2023-08-25 14:56:00 7.05 7.05 7.06 7.04 92700.0 653831.0
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.. ... ... ... ... ... ... ... ...
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236 600000.SH 2023-08-25 09:34:00 7.01 7.02 7.02 7.00 120500.0 845311.0
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237 600000.SH 2023-08-25 09:33:00 7.01 7.01 7.02 7.00 126000.0 883188.0
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238 600000.SH 2023-08-25 09:32:00 7.01 7.02 7.02 6.99 236699.0 1659260.0
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239 600000.SH 2023-08-25 09:31:00 7.02 6.99 7.02 6.97 807500.0 5649956.0
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240 600000.SH 2023-08-25 09:30:00 6.99 6.99 6.99 6.99 103700.0 724863.0
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```
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